Enhancing Cloud Security through Log Aggregation and Real-Time Alerts

Cloud computing is widely adopted by the IT sector in many industry applications, and the immensity of the risk proportion inclines with its adoption. The number and irregularities in malicious cyber-attacks has multiplied gradually demanding a robust security solution. The project aims to cope with the growing number and complexity of cyber threats by resolving the immediate need for dependable cloud security solutions amid cloud computing’s rapid adoption. In the era of the networked and interconnectivity, promptly responding to the cyberthreats and having embracing data visualization in the cybersecurity program would make it possible for the business to prevent the cyberattacks, control the data flow, and avoid compliance violations, and safeguard the on-going company activities. The proposed approach implements industry standard applications such as Elasticsearch, AWS CloudWatch, and Kibana applications to act proactively by detecting and mitigating cyber threats. By processing and analyzing real-time log data in a cloud environment, they can minimize the effect of cyber-attacks and keep their cloud systems intact. The competence of the system to conduct effective forensic analysis and proactive threat hunting expands further with integration of ELK stack. This enhances security teams’ ability to go on par with changing threats and operate strong cyber defenses. The proposed methodology aims to deploy and implement a secure file upload system utilizing AWS services.